Minimally invasive ortho-restorative treatment planning
Computer modeling optimizes restorative feature placement on teeth to minimize material loss and preserve natural structures, addressing the invasive nature of traditional dentistry methods.
US20260144615A1Pending Publication Date: 2026-05-28ALIGN TECHNOLOGY INC
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Patent Information
- Application Number
- US19/402317
- Authority / Receiving Office
- US · United States
- Patent Type
- Applications(United States)
- Current Assignee / Owner
- Priority Date
- 2024-11-26
- Filing Date
- 2025-11-26
- Publication Date
- 2026-05-28
AI Technical Summary
Technical Problem
Existing restorative and ortho-restorative dentistry procedures often require significant tooth material removal to accommodate restorative devices, compromising natural anatomical features and structural integrity.
Method used
Computer modeling techniques are used to optimize the positioning of restorative features relative to tooth models, minimizing tooth loss and preserving natural anatomical structures through iterative adjustments and penalty functions to achieve clinical and aesthetic goals.
Benefits of technology
This approach reduces tooth material loss, maintains structural integrity, and enhances treatment efficiency by minimizing invasive procedures and optimizing restorative outcomes.
✦ Generated by Eureka AI based on patent content.
Abstract
Systems and methods for minimally invasive ortho-restorative treatment planning. One or more clinical and / or aesthetic aspects of an ortho-restorative treatment plan may be optimized. In some examples, the ortho-restorative treatment plan is optimized to minimize a tooth mass loss associated with adding or implementing a restorative feature in the ortho-restorative treatment plan. Examples of restorative features may include crowns, veneers, fillings, inlays, onlays, edge bonding, composites, implants, bridges and prosthetics. The methods may include computer modeling techniques. For example, a position of a digital restorative feature model may be optimized with respect to a digital tooth model of a patient's teeth to minimized tooth mass loss in the patient's teeth.
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